Senior Data Engineer BI & Analytics

Full Time

Start Date

Immediate

Expiry Date

05 Mar, 26

0.0

Posted On

05 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Medical Device

medmix is a global leader in high-precision delivery devices. We occupy leading positions in the healthcare, consumer, and industrial end-markets. Our customers benefit from our dedication to innovation and technological advancement that has resulted in over 900 active patents. Our 14 production sites worldwide, together with our highly motivated and experienced team of nearly 2’700 employees provide our customers with uncompromising quality, proximity, and agility.

medmix is headquartered in Baar, Switzerland. Our shares are traded on the SIX Swiss Exchange (SIX: MEDX).(Use the "Apply for this Job" box below)..swiss

• Data Warehouse
• Data Lake Architecture
• Snowflake
• Azure Data Lake Storage
• Data Modeling Techniques
• dbt
• SQL
• ETL
• ELT Design
• Data Architecture
• Data Ingestion
• Azure Data Factory
• Dev Ops
• Problem-Solving
• Automation
• Testing

• Design and develop robust data pipelines from various source systems—including SAP ERP and cloud-based SaaS platforms—into our Snowflake data warehouse.
• Translate business requirements into technical solutions, understanding the full business context and how data flows across systems.
• Build transformation logic in dbt, creating modular, testable, and well-documented models that support analytics and reporting.
• Model data using best practices (star/snowflake schema), ensuring clarity, consistency, and performance across the BI landscape.
• Collaborate with BI analysts and business stakeholders to ensure data models reflect real-world processes and support decision‑making.
• Extend and optimize our data integration framework, focusing on scalability, reusability, and automation.
• Debug, optimize, and refactor existing pipelines, ensuring reliability and performance.
• Implement automated testing and data quality checks to maintain trust in our data assets.

• Solid experience with data warehouse and lake architecture using Snowflake and Azure Data Lake Storage.
• Strong command of data modeling techniques (e.g., Inmon, Kimball, Data Vault, etc.).
• Deep expertise in dbt, SQL, and Snowflake (or similar cloud data platforms).
• Strong understanding of data architecture, ETL/ELT design, and data warehouse principles.
• Ability to grasp complex business processes and translate them into clean, scalable data models.
• Data Ingestion & Processing (Azure Data Factory, Functions / Batch Ingestion, Stream Analytics, etc.).
• Experience with Dev Ops (CI/CD, version control, testing automation, workflow orchestration).
• Proactive mindset, strong problem‑solving skills, and the ability to work independently and lead technical initiatives.

The Senior Data Engineer is responsible for designing and implementing reusable and optimized end-to-end data pipelines. This role involves collaborating with business teams to gather requirements, develop data models, and ensure data quality and performance.

medmix is an equal opportunity employer, committed to the strength of a diverse workforce. 93% of our employees would go above and beyond to deliver results – do you have the drive to succeed? Join us and boost your career, starting today!